CEO & Co-Founder
Pranav received his PhD from Stanford University in 2013, where he was advised by Ashish Goel. Teapot grew out of Pranav's research on using the social network to create trust in online interactions between users. Before Stanford, Pranav built software for personalization and online marketing at Amazon, which generates $100M+ in annual revenue for Amazon.
Co-Founder & Chief Scientist
Ashish is a Professor of Management Science and Engineering and (by courtesy) Computer Science at Stanford University, where he co-leads the Social Algorithms lab. He is one of the world's leading experts on systems and algorithms for large-scale network analysis. He was a research fellow and technical advisor at Twitter from July 2009 to August 2014, where he architected Twitter's early personalization and monetization products.
Andrew received his PhD from Stanford University in the Institute for Computational and Mathematical Engineering in 2012 under the supervision of Professor Gunnar Carlsson. His research focused on computational topology and applications toward topological data analysis. Prior to joining Teapot, Andrew was a quantitative analyst at Goldman Sachs.
Peter is finishing up his PhD in Computer Science from Stanford University, where he is advised by Ashish Goel. With Ashish, he has developed more efficient algorithms for personalized search on social networks. In past internships he has developed revenue analysis algorithms at Google, researched machine learning at LinkedIn, and implemented the core podcast recommendation algorithm at Concept.io, a start-up later acquired by Apple.